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About the Role

The Marketplace Science team within Expedia Group's AI & Data organization develops, optimizes, and operationalizes applied science-driven marketplace levers to support a healthy and trusted marketplace. The Marketplace Health team builds systems to detect behaviors indicating trust, safety, and marketplace-health risks before they escalate, protecting traveler trust and ensuring a reliable experience across Expedia Group’s marketplace.

Responsibilities

Own machine learning projects end to end, from understanding business needs and defining the approach through execution, launch, measurement, and iteration.
Develop and improve the Marketplace Health Model system to identify behaviors associated with trust, safety, and marketplace-health risks.
Translate complex marketplace challenges into scalable machine learning and statistical modeling solutions.
Partner closely with product, engineering, operations, trust and safety, and other stakeholders to understand needs and deliver practical solutions.
Stay highly engaged with business outcomes by identifying opportunities where machine learning can create meaningful, measurable impact.
Proactively evaluate opportunities based on potential return on investment, customer impact, risk reduction, and implementation feasibility.
Design experiments and analyses to assess model performance, business outcomes, and marketplace-health improvements.
Monitor deployed models and recommend enhancements to maintain quality, reliability, and relevance as marketplace behavior evolves.
Communicate technical findings, recommendations, trade-offs, and project progress clearly to both technical and non-technical audiences.
Identify gaps, resolve blockers, and advance projects independently while keeping stakeholders aligned.

Requirements

Graduate degree in a quantitative field (such as Computer Science, Statistics, Machine Learning, Operations Research, or similar) with focused coursework or research in ML, optimization, or statistical modeling.
Experience developing, evaluating, and applying machine learning models to complex business or product problems.
Experience designing, developing, and deploying solutions using large language models (LLMs).
Experience with Python, SQL, and common machine learning libraries and frameworks.
Experience translating ambiguous problems into measurable objectives, analytical approaches, and actionable recommendations.
Experience collaborating with cross-functional stakeholders to deliver machine learning solutions from concept through production.
Proficient communication skills, with the ability to explain technical concepts and business implications clearly.
Demonstrated ability to work both collaboratively and autonomously, take initiative, and maintain ownership of deliverables.
Graduate degree in Deep Learning, NLP, Transformer, LLM.
Experience developing agentic applications or LLM-powered agents.
Experience with trust and safety, fraud detection, risk modeling, anomaly detection, behavioral modeling, or marketplace optimization.
Experience working with large-scale, imperfect, or evolving datasets.
Experience with model monitoring, experimentation, and production machine learning systems.
Experience balancing customer trust, business value, operational considerations, and model performance.

Skills

Machine Learning
Optimization
Statistical Modeling
Python
SQL
Large Language Models (LLMs)
Deep Learning
NLP
Transformer
Agentic applications
LLM-powered agents
Trust and safety
Fraud detection
Risk modeling
Anomaly detection
Behavioral modeling
Marketplace optimization
Model monitoring
Experimentation
Production machine learning systems

Location

Austin
Seattle

Work Type

Full-time

Experience Level

Machine Learning Scientists II

Education Level

Graduate degree in a quantitative field
Graduate degree in Deep Learning, NLP, Transformer, LLM

Salary/Compensations

Austin: $112,000.00 - $156,500.00 (potential to $179,000.00)
Seattle: $112,000.00 - $156,500.00 (potential to $179,000.00)

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across its brands and business, Expedia Group helps travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
This employer participates in E-Verify.
The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.